Miniaturization of Monopole Patch Antenna with Extended UWB Spectrum via Novel Hybrid Heuristic Approach

• Published in: Wireless personal communications Vol. 109; no. 1; pp. 539 - 562
• Main Authors: Zubair, Muhammad, Ahmad, Jawwad, Rizvi, Syed Sajjad Hussain
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2019; Springer Nature B.V
• Subjects: Algorithms; Antenna design; Communications Engineering; Computer Communication Networks; Data transmission; Engineering; Heuristic methods; Magnetic properties; Miniaturization; Monopole antennas; Monopoles; Networks; Particle swarm optimization; Patch antennas; Power consumption; Signal,Image and Speech Processing; Soft computing; Wideband communications; Miniaturization; Heuristic approach; Patch antenna; Hybrid algorithm; Ultra wide band
• DOI: 10.1007/s11277-019-06578-6
• ISSN: 0929-6212

Many of the wireless systems employ ultra wide band (UWB) for its efficient data rate and optimal power consumption. However, all the wireless devices need to have antenna size as small as possible. It is therefore important to design an antenna having the desired UWB features along with highest possible degree of miniaturization. In addition, it gives sufficient flexibility if different geometrical shaped antennas have the same physical and/or electro-magnetic characteristics. To jointly design such multi featured antennas is a complex multi objective optimization problem. These types of problems cannot be solved through classical numerical approaches; instead they require soft computing techniques to find the optimum results. This paper proposes a novel hybrid genetic particle swarm optimization algorithm to jointly optimize three printed monopole antennas for high degree of miniaturization. Moreover, attempt is also made to extend UWB spectrum to have more room for data transmission. The results are effective and promising.